Automated scoring of pre-REM sleep in mice with deep learning

Reliable automation of the labor-intensive manual task of scoring animal sleep can facilitate the analysis of long-term sleep studies. In recent years, deep-learning-based systems, which learn optimal features from the data, increased scoring accuracies for the classical sleep stages of Wake, REM, a...

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Detalles Bibliográficos
Autores principales: Grieger, Niklas, Schwabedal, Justus T. C., Wendel, Stefanie, Ritze, Yvonne, Bialonski, Stephan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192905/
https://www.ncbi.nlm.nih.gov/pubmed/34112829
http://dx.doi.org/10.1038/s41598-021-91286-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192905/
https://www.ncbi.nlm.nih.gov/pubmed/34112829
http://dx.doi.org/10.1038/s41598-021-91286-0

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